教学课程资源库 更多>>

关键词： Computer science   Culture   Policy  

摘要： Two researchers share their experiences and discuss the inequalities that impact women in the computer sciences.

摘要： Preface: The 3rd International Conference on Computer, Science, Engineering and Technology (ICComSET 2020), AIP Conference Proceedings, Volume 2510, Issue 1, 9

关键词： Graduate admission   Statistical analysis   Partiality patterns   Gender equality   Nationality diversity  

摘要： Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due to biases. Extensive research has been conducted on detecting partiality patterns in the academic community. However, in the last few decades, limited research has focused on assessing gender and nationality biases in graduate admission results of universities. In this study, we collected a novel and comprehensive dataset containing information on approximately 14,000 graduate students majoring in computer science (CS) at the top 25 North American universities. We used statistical hypothesis tests to determine whether there is a preference for students' gender and nationality in the admission processes. In addition to partiality patterns, we discuss the relationship between gender/nationality diversity and the scientific achievements of research teams. Consistent with previous studies, our findings show that there is no gender bias in the admission of graduate students to research groups, but we observed bias based on students' nationality.

关键词： safety monitoring system   wireless sensor network   artificial intelligence   computer science   home security  

摘要： The safety monitoring system has been used to monitor and manage engineering safety operation. The application scope of the safety monitoring system is very wide. It has a wide range of applications in the fields of pipeline safety monitoring, electrical safety monitoring and household safety monitoring. This article studied the application process of the household safety monitoring system. Many home safety accidents are caused by inadequate monitoring of safety problems. Therefore, it is very important to establish a household safety monitoring system. Traditional home safety monitoring systems only rely on cameras for safety monitoring, and the traditional home safety monitoring system uses too few sensors. With the continuous development of wireless sensor network (WSN) technology, it is possible to build a sensor node network, but provides real-time information for home security monitoring to the greatest extent. This article compared the home safety monitoring system based on the WSN technology of artificial intelligence (AI) with the traditional home safety monitoring system. The experimental results showed that in the large-scale home environment, the average monitoring accuracy of the traditional home security monitoring system and the home security monitoring system based on the WSN technology of AI was 77.76 and 89.36%, respectively. In the small-scale home environment, the average monitoring accuracy of the traditional home safety monitoring system and the home safety monitoring system based on the WSN technology of AI were 87.63 and 94.43%, respectively. Monitoring accuracy refers to the accuracy of the household safety monitoring system in detecting safety issues. Therefore, the application of the WSN technology based on artificial intelligence to the home safety monitoring system can effectively improve the accuracy of home safety monitoring.

关键词： Sensors   Wireless sensor networks   Object recognition   Computer science   Computer architecture  

摘要： Our previously published articles [2] , [3] , which reported preliminary results of the above article [1] , were erroneously left off in the References Section of the article.

摘要： The "Dear Neighbor" is a crucial value and part of the mission for Chestnut Hill College. Starting in Spring 2021, the Computer Science Department developed an On-Site Internship Program that blends mission, experiential learning requirements, and community outreach to offer real-world experience in website and mobile application development. The program focuses on serving the "Dear Neighbor," working with neighborhood organizations, often nonprofits, in Philadelphia. Many organizations (or clients) are committed to social change, peace, environmental impact, and service.

摘要： Retention of female students in advanced computer science is a well recognized weakness in both K-12 and higher education. The absence of "a feeling of belonging" is often indicated as an important obstacle for students in underrepresented groups. To promote a sense of belonging, we created a "buddy system" to help encourage female students to continue on to the most advanced computer science courses in a high school curriculum. Female students that participated were able to select which students would be in their class. This initiative doubled the enrollment of female students.

关键词： 三创”教育   多元融合创新视角   人才培养   计算机专业   校企合作  

摘要： 以学生健康成长与可持续性发展为最终目标,树立正确的职业和创业观,提升“三创”能力和水平,能够不断增强学生自信并推动个性化发展,从而服务社会,实现个人价值。基于多元融合创新视角下计算机专业“三创”人才培养,必须构建“三创”课程体系,提升创新创业教学质量;建设“三师”融合师资队伍,强化创新创业师资团队;强化理论与实践融合,提升创业创新能力;加强课程思政与思政课程融合。

关键词： 学前教育   数字叙事   计算机科学   混合方法研究   数据分析  

摘要： 为深入探讨数字叙事对学前教育成效的影响,以及计算机科学技术如何帮助优化和推进这一过程,本研究从理论和实践两个层面,全面回顾了学前教育的重要性、数字叙事在学前教育中的应用与研究,以及计算机科学技术如何渗透和影响学前教育领域。在研究设计中,采用了混合方法,结合定性和定量的研究手段,通过实地观察、深度访谈和学前儿童学习数据收集等多种方式进行数据获取,并运用自然语言处理、机器学习等计算机科学技术对数据进行深度分析。实证研究结果显示,数字叙事在学前教育中具有显著的积极影响,能有效提升儿童的学习成效,而计算机科学技术的应用则能进一步优化数字叙事的创作和教学效果。总之,本研究深度揭示了数字叙事在学前教育中的重要作用以及计算机科学技术在优化这一过程中的关键价值。